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Caching

50 Caching interview questions

Only coding challenges
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Caching Fundamentals


  • 1.

    Define caching in the context of computer programming.

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  • 2.

    What are the main purposes of using a cache in a software application?

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  • 3.

    Can you explain the concept of cache hit and cache miss?

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  • 4.

    Describe the impact of cache size on performance.

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  • 5.

    How does a cache improve data retrieval times?

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  • 6.

    What is the difference between local caching and distributed caching?

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  • 7.

    Explain the concept of cache eviction and mention common strategies.

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  • 8.

    What is a cache key and how is it used?

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  • 9.

    Explain the importance of cache expiration and how it is managed.

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  • 10.

    How does cache invalidation work and why is it necessary?

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Cache Implementation and Design


  • 11.

    Describe the steps involved in implementing a basic cache system.

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  • 12.

    How would you handle cache synchronization in a distributed environment?

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  • 13.

    Explain the use of hash maps in cache implementation.

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  • 14.

    What are some common caching algorithms, and how do they differ?

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  • 15.

    Explain the design considerations for a cache that supports high concurrency.

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  • 16.

    How would you prevent cache stampede in a high-load application?

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  • 17.

    What are the trade-offs between read-heavy and write-heavy caching strategies?

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  • 18.

    Describe the role of a cache manifest in web applications.

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  • 19.

    How do you ensure consistency between cache and primary data storage?

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  • 20.

    Explain the use of cache tagging and its benefits.

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Caching in Distributed Systems


  • 21.

    Explain distributed caching and its advantages over local caching.

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  • 22.

    How do you handle cache partitioning in distributed systems?

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  • 23.

    Describe consistency models in distributed caching (e.g., eventual consistency).

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  • 24.

    What is cache replication and how is it typically implemented?

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  • 25.

    Name some strategies to avoid cache coherence issues in distributed systems.

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  • 26.

    How do you handle network latency in distributed caching?

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  • 27.

    What are the challenges in maintaining a distributed cache?

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  • 28.

    Explain the concept of a write-through cache in a distributed environment.

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  • 29.

    How does a distributed cache handle node failures?

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  • 30.

    What is a shared cache, and how does it differ from a distributed cache?

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Advanced Caching Concepts


  • 31.

    Explain the concept of a content delivery network (CDN) and its relation to caching.

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  • 32.

    Explain edge caching and its use cases.

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  • 33.

    What is cache warming and when is it used?

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  • 34.

    How does query result caching work in database systems?

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  • 35.

    Describe object caching and its advantages in object-oriented programming.

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  • 36.

    Discuss the impact of caching on microservices architecture.

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  • 37.

    Explain how caching interacts with serverless computing models.

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  • 38.

    Describe cache compression techniques and their trade-offs.

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  • 39.

    How does machine learning influence caching strategies?

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  • 40.

    Discuss the role of caching in IoT (Internet of Things) applications.

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Caching Tools and Technologies


  • 41.

    What are some popular caching systems and their key features?

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  • 42.

    How do you configure cache settings in a web server (e.g., Nginx, Apache)?

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  • 43.

    Explain the role of HTTP headers in web caching.

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  • 44.

    How do caching mechanisms differ across various programming languages?

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  • 45.

    Describe the use of caching in mobile application development.

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  • 46.

    What tools are available for monitoring and analyzing cache performance?

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  • 47.

    Explain the integration of caching in cloud computing services.

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  • 48.

    How does caching work in content management systems (CMS)?

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  • 49.

    What are the considerations for caching in a serverless architecture?

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  • 50.

    Name some caching strategies in big data processing and analytics.

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